摘要
提出了一种使用相位因子优选对方法改进GA-PTS以降低OFDM的PAPR的算法。改进算法根据具有低PAPR值的不同PTS子块求和有更大的概率获得具有低PAPR值的传输信号,将GA-PTS中基因交叉步骤变为选择相位因子优选对,达到进一步提高GA-PTS降低系统PAPR的目的。仿真结果验证了该算法可以获得低于传统GA-PTS算法0.2 dB左右的PAPR性能。
A novel method called phase factor optimal pair (PFOP) is proposed to improve m genetic algorithm with partial transmitter sequence (GA-PTS). The key of PTS algorithm is to choice the phase factors. GA-PTS uses phase factors as genes to take selection, crossover and mutation. The improved method is based on the principle that the sum of several low PAPR PTS sequences has a bigger probability to obtain the OFDM signals with low PAPR. In the improved GA-PTS, the cross step is changed into the step of selecting phase factor optimal pair. The simulation results show that this improved method has 0.2dB of the PAPR lower than ordinary GA-PTS algorithm.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2013年第3期338-343,共6页
Journal of University of Electronic Science and Technology of China
基金
国家自然科学基金(61001088)
高等学校博士学科点专项科研基金(2010018520007)
中央高校基本科研基金(ZYGX2012J141)
关键词
遗传算法
正交频分复用
部分传输序列
峰值平均功率比
相位因子优选对
genetic algorithm (GA)
orthogonal frequency division multiplexin (OFDM)
partial transmitter sequence (PTS)
peak-to-average power ratio (PAPR)
phase factor optimal pair